Estuary salinity prediction using a Support Vector Machine based approach: a case study of the Po di Goro estuary-Reference-Cited by-同舟云学术

Estuary salinity prediction using a Support Vector Machine based approach: a case study of the Po di Goro estuary

Published:2023-10-04 Issue: Volume: Page:
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Container-title:2023 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)
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Author:

Saccotelli Leonardo¹,Verri Giorgia¹,De Lorenzis Alessandro¹,Caccioppoli Rocco¹,Cherubini Carla²,Dimauro Giovanni³,Coppini Giovanni¹,Maglietta Rosalia⁴

Affiliation:

1. Centro Euro-Mediterraneo sui Cambiamenti Climatici,Ocean Predictions and Applications Division,Lecce,Italy,73100

2. Consiglio Nazionale Delle Ricerche-STIIMA,Bari,Italy,70125

3. Università Degli Studi di Bari Aldo Moro,Dipartimento di Informatica,Bari,Italy,70125

4. Università Degli Studi di Bari Aldo Moro,70125,Italy,Bari

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317072/10317097/10317103.pdf?arnumber=10317103

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3. Recent Advances of a Box Model to Represent the Estuarine Dynamics: Time‐Variable Estuary Length and Eddy Diffusivity

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5. ARIANNA: A novel deep learning-based system for fin contours analysis in individual recognition of dolphins

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